Lead Data Scientist

We are seeking a Lead Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, deep learning, and NLP, with proven experience in training and fine-tuning large-scale models.

Requirements

• Strong background in machine learning, deep learning, and NLP
• Hands-on expertise with Parameter-Efficient Fine-Tuning (PEFT) approaches
• Proficiency in PyTorch, TensorFlow, Hugging Face ecosystem
• Basic understanding of MLOps best practices
• Experience working with large datasets, feature engineering, and data pipelines
• Knowledge of GPU/TPU optimization, mixed precision training, and scaling ML workloads on cloud or HPC environments
• Demonstrated success in adapting foundation models to domain-specific applications
• Strong ability to design, evaluate, and improve models using robust validation strategies
• Experience in working on applied AI problems across NLP, computer vision, or multimodal systems or any other domain
• Proven ability to lead and mentor a team of applied scientists and ML engineers
• Strong cross-functional collaboration skills
• Excellent communication and presentation skills
• Continuous learner with awareness of emerging trends in generative AI, foundation models, and efficient ML techniques